The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-06"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "11620096 (up from 11449707 yesterday: 1.49 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "538058 (up from 534267 yesterday: 0.71 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 3585592

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.63



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2936077 47442 1.64 822051 130285 338 0.26 4.44
Brazil 1623284 20229 1.26 735013 65487 620 0.96 4.03
India 719664 22251 3.19 376573 20159 466 2.37 2.80
Russia 686852 6569 0.97 150368 10280 135 1.33 1.50
Peru 305703 2985 0.99 72711 10772 183 1.73 3.52
Chile 298557 3025 1.02 119121 6384 76 1.20 2.14
United Kingdom 287290 359 0.13 -11025 44321 16 0.04 15.43
Mexico 261750 4902 1.91 111486 31119 480 1.57 11.89
Spain 251789 1244 0.50 7680 28388 3 0.01 11.27
Iran 243051 2613 1.09 53175 11731 160 1.38 4.83
Italy 241819 208 0.09 4529 34869 8 0.02 14.42
Pakistan 234509 2691 1.16 85588 4839 77 1.62 2.06
Saudi Arabia 213716 4207 2.01 81668 1968 52 2.71 0.92
Turkey 206844 1086 0.53 27013 5241 16 0.31 2.53
South Africa 205721 8971 4.56 132188 3310 111 3.47 1.61
France 205597 1375 0.67 11292 29923 27 0.09 14.55
Germany 198064 541 0.27 10382 9022 -1 -0.01 4.56
Bangladesh 165618 3201 1.97 74999 2096 44 2.14 1.27
Colombia 117412 3727 3.28 64201 4305 127 3.04 3.67
Canada 107815 421 0.39 7052 8748 9 0.10 8.11
Qatar 100345 546 0.55 19469 133 5 3.91 0.13
China 84889 18 0.02 511 4641 0 0.00 5.47
Argentina 80447 2632 3.38 47662 1582 75 4.98 1.97
Egypt 76222 969 1.29 29933 3422 79 2.36 4.49
Sweden 73061 1642 2.30 20678 5433 13 0.24 7.44
Indonesia 64958 1209 1.90 25664 3241 70 2.21 4.99
Belarus 63804 250 0.39 9124 429 6 1.42 0.67
Ecuador 62380 422 0.68 15058 4821 40 0.84 7.73
Iraq 62275 1796 2.97 40960 2567 94 3.80 4.12
Belgium 62058 42 0.07 1958 9774 3 0.03 15.75
United Arab Emirates 52068 528 1.02 9432 324 1 0.31 0.62
Netherlands 50870 36 0.07 1715 6147 1 0.02 12.08
Kuwait 50644 703 1.41 14213 373 5 1.36 0.74
Ukraine 50053 585 1.18 17517 1278 13 1.03 2.55
Kazakhstan 49683 1109 2.28 34491 264 76 40.43 0.53
Oman 47735 1557 3.37 23211 218 5 2.35 0.46
Philippines 46333 2079 4.70 19913 1303 6 0.46 2.81
Singapore 44983 183 0.41 4165 26 0 0.00 0.06
Portugal 44129 232 0.53 7093 1620 6 0.37 3.67
Bolivia 40509 1212 3.08 21436 1476 42 2.93 3.64
Panama 39334 1185 3.11 17912 770 23 3.08 1.96
Dominican Republic 38128 703 1.88 14857 804 10 1.26 2.11
Poland 36155 205 0.57 6367 1521 4 0.26 4.21
Afghanistan 33190 239 0.73 7663 898 34 3.94 2.71
Switzerland 32315 47 0.15 1184 1965 0 0.00 6.08
Israel 30749 791 2.64 11512 334 3 0.91 1.09
Bahrain 29821 454 1.55 10808 98 1 1.03 0.33
Nigeria 29286 575 2.00 12628 654 9 1.40 2.23
Romania 29223 250 0.86 7058 1768 18 1.03 6.05
Armenia 28936 330 1.15 11872 491 7 1.45 1.70
Ireland 25531 4 0.02 210 1741 0 0.00 6.82
Honduras 24665 722 3.02 15487 656 17 2.66 2.66
Guatemala 23972 724 3.11 13700 981 34 3.59 4.09
Ghana 21077 992 4.94 9113 129 7 5.74 0.61
Azerbaijan 20837 513 2.52 10513 258 8 3.20 1.24
Japan 19848 180 0.92 2409 978 1 0.10 4.93
Austria 18365 85 0.46 1230 706 0 0.00 3.84
Moldova 17906 92 0.52 6027 592 7 1.20 3.31
Serbia 16420 289 1.79 4053 317 6 1.93 1.93
Algeria 16404 463 2.90 5373 959 7 0.74 5.85
Nepal 15964 180 1.14 9753 35 1 2.94 0.22
Morocco 14379 164 1.15 5494 237 2 0.85 1.65
Korea, South 13181 44 0.33 1026 285 1 0.35 2.16
Denmark 13079 46 0.35 662 607 1 0.17 4.64
Cameroon 12592 0 0.00 2728 313 0 0.00 2.49
Czechia 12566 51 0.41 2502 350 2 0.57 2.79
Cote d’Ivoire 10966 194 1.80 5527 75 1 1.35 0.68
Uzbekistan 10362 342 3.41 5099 37 3 8.82 0.36

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 397649 518 0.13 13705 32219 13 0.04 8.10 20440.94 1656.20 1 in 49
California 271035 6354 2.40 115309 6441 68 1.07 2.38 6859.52 163.01 1 in 146
Florida 206447 6336 3.17 129121 3778 47 1.26 1.83 9612.14 175.90 1 in 104
Texas 205642 10710 5.49 115431 2677 49 1.86 1.30 7092.11 92.32 1 in 141
New Jersey 173611 209 0.12 6508 15229 18 0.12 8.77 19545.97 1714.55 1 in 51
Illinois 147865 614 0.42 14849 7026 6 0.09 4.75 11668.80 554.46 1 in 86
Massachusetts 110137 163 0.15 4447 8198 15 0.18 7.44 15848.18 1179.65 1 in 63
Arizona 101455 3352 3.42 64611 1829 4 0.22 1.80 13323.23 240.19 1 in 75
Georgia 97064 1548 1.62 38650 2878 18 0.63 2.97 9141.95 271.06 1 in 109
Pennsylvania 95100 697 0.74 11511 6754 1 0.01 7.10 7428.53 527.57 1 in 135
North Carolina 74775 1783 2.44 29661 1432 9 0.63 1.92 7129.52 136.54 1 in 140
Michigan 73267 326 0.45 7182 6221 3 0.05 8.49 7336.34 622.92 1 in 136
Maryland 69904 272 0.39 7872 3246 3 0.09 4.64 11562.64 536.91 1 in 86
Louisiana 66327 1101 1.69 19155 3296 8 0.24 4.97 14267.57 709.00 1 in 70
Virginia 66102 354 0.54 11216 1853 0 0.00 2.80 7744.34 217.09 1 in 129
Ohio 57956 806 1.41 16380 2927 16 0.55 5.05 4958.12 250.40 1 in 202
Tennessee 52039 723 1.41 21035 652 7 1.09 1.25 7615.64 95.42 1 in 131
Indiana 48524 323 0.67 8094 2698 5 0.19 5.56 7207.73 400.76 1 in 139
Connecticut 46976 259 0.55 1741 4338 3 0.07 9.23 13175.94 1216.73 1 in 76
South Carolina 46380 1533 3.42 27002 827 7 0.85 1.78 9008.07 160.62 1 in 111
Alabama 44878 925 2.10 18606 1007 0 0.00 2.24 9152.83 205.38 1 in 109
Minnesota 38569 433 1.14 7876 1511 3 0.20 3.92 6838.92 267.93 1 in 146
Washington 36985 1087 3.03 10827 1369 10 0.74 3.70 4856.93 179.78 1 in 206
Colorado 34240 192 0.56 4956 1691 -10 -0.59 4.94 5945.75 293.64 1 in 168
Wisconsin 32061 484 1.53 9129 796 0 0.00 2.48 5506.46 136.71 1 in 182
Iowa 31758 241 0.76 7676 723 2 0.28 2.28 10065.70 229.15 1 in 99
Mississippi 31257 357 1.16 11458 1114 3 0.27 3.56 10502.50 374.31 1 in 95
Utah 25469 517 2.07 10861 190 6 3.26 0.75 7944.27 59.26 1 in 126
Arkansas 24253 439 1.84 11336 292 5 1.74 1.20 8036.58 96.76 1 in 124
Missouri 24211 395 1.66 7600 1051 0 0.00 4.34 3944.81 171.24 1 in 253
Nevada 22909 491 2.19 11594 537 3 0.56 2.34 7437.61 174.34 1 in 134
Nebraska 20046 117 0.59 3195 283 -1 -0.35 1.41 10362.86 146.30 1 in 96
Kentucky 17152 776 4.74 4505 593 8 1.37 3.46 3839.14 132.73 1 in 260
Rhode Island 16991 0 0.00 898 960 0 0.00 5.65 16038.91 906.21 1 in 62
Kansas 16638 557 3.46 5319 285 1 0.35 1.71 5711.02 97.83 1 in 175
Oklahoma 16362 431 2.71 7945 399 1 0.25 2.44 4134.98 100.83 1 in 242
New Mexico 13507 251 1.89 3662 515 2 0.39 3.81 6441.63 245.61 1 in 155
Delaware 12293 165 1.36 1953 512 0 0.00 4.16 12624.21 525.79 1 in 79
District of Columbia 10515 33 0.31 716 561 2 0.36 5.34 14899.06 794.90 1 in 67
Oregon 10395 165 1.61 4575 215 0 0.00 2.07 2464.59 50.98 1 in 406
Puerto Rico 8585 669 8.45 2695 155 0 0.00 1.81 2688.11 48.53 1 in 372
Idaho 8052 319 4.13 4653 94 1 1.08 1.17 4493.14 52.45 1 in 223
South Dakota 7105 42 0.59 1177 97 0 0.00 1.37 8031.34 109.65 1 in 125
New Hampshire 5914 17 0.29 569 382 1 0.26 6.46 4349.45 280.94 1 in 230
North Dakota 3849 33 0.86 748 80 0 0.00 2.08 5050.77 104.98 1 in 198
West Virginia 3442 180 5.52 1120 95 1 1.06 2.76 1925.97 53.16 1 in 519
Maine 3423 8 0.23 613 109 0 0.00 3.18 2546.47 81.09 1 in 393
Wyoming 1675 41 2.51 596 20 0 0.00 1.19 2894.12 34.56 1 in 346
Vermont 1251 2 0.16 123 56 0 0.00 4.48 2004.84 89.75 1 in 499
Montana 1249 37 3.05 640 23 0 0.00 1.84 1168.62 21.52 1 in 856
Alaska 1162 28 2.47 499 16 0 0.00 1.38 1588.42 21.87 1 in 630
Hawaii 1030 7 0.68 294 19 0 0.00 1.84 727.47 13.42 1 in 1375

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 New York 4288131 397649 9.27 1296921 13705 1.06 220429.10
2 California 4793353 271035 5.65 1925171 115309 5.99 121313.17
3 Florida 2233940 206447 9.24 803756 129121 16.06 104011.89
4 Texas 2163729 205642 9.50 848968 115431 13.60 74621.94
5 New Jersey 1549209 173611 11.21 433126 6508 1.50 174417.46
6 Illinois 1783962 147865 8.29 573489 14849 2.59 140781.82
7 Massachusetts 899417 110137 12.25 182186 4447 2.44 129421.77
8 Arizona 617841 101455 16.42 272584 64611 23.70 81135.87
9 Georgia 958953 97064 10.12 328457 38650 11.77 90318.81
10 Pennsylvania 833324 95100 11.41 240294 11511 4.79 65093.32
11 North Carolina 1051846 74775 7.11 413367 29661 7.18 100289.62
12 Michigan 1159363 73267 6.32 335326 7182 2.14 116088.88
13 Maryland 587361 69904 11.90 166253 7872 4.73 97153.84
14 Louisiana 813645 66327 8.15 294920 19155 6.49 175022.81
15 Virginia 715113 66102 9.24 236114 11216 4.75 83780.85
16 Ohio 881412 57956 6.58 324244 16380 5.05 75404.61
17 Tennessee 904618 52039 5.75 274640 21035 7.66 132386.21
18 Indiana 526592 48524 9.21 170763 8094 4.74 78219.68
19 Connecticut 524364 46976 8.96 167987 1741 1.04 147074.84
20 South Carolina 439857 46380 10.54 184300 27002 14.65 85430.46
21 Alabama 455095 44878 9.86 152421 18606 12.21 92816.20
22 Minnesota 679693 38569 5.67 256771 7876 3.07 120520.81
23 Washington 612706 36985 6.04 150104 10827 7.21 80461.54
24 Colorado 355655 34240 9.63 106570 4956 4.65 61759.21
25 Wisconsin 624143 32061 5.14 197764 9129 4.62 107196.23
26 Iowa 335462 31758 9.47 108074 7676 7.10 106324.74
27 Mississippi 314688 31257 9.93 84185 11458 13.61 105736.64
28 Utah 375842 25469 6.78 102904 10861 10.55 117232.35
29 Arkansas 344968 24253 7.03 140830 11336 8.05 114310.14
30 Missouri 426745 24211 5.67 146804 7600 5.18 69531.57
31 Nevada 311481 22909 7.35 95047 11594 12.20 101125.07
32 Nebraska 191740 20046 10.45 53985 3195 5.92 99120.76
33 Kentucky 400342 17152 4.28 104491 4505 4.31 89608.62
34 Rhode Island 250954 16991 6.77 50509 898 1.78 236891.86
35 Kansas 202219 16638 8.23 65257 5319 8.15 69412.02
36 Oklahoma 365151 16362 4.48 114147 7945 6.96 92280.43
37 New Mexico 375054 13507 3.60 111389 3662 3.29 178867.23
38 Delaware 127179 12293 9.67 42493 1953 4.60 130605.57
39 District of Columbia 107650 10515 9.77 41804 716 1.71 152532.98
40 Oregon 267721 10395 3.88 93839 4575 4.88 63475.03
42 Idaho 106465 8052 7.56 43485 4653 10.70 59409.12
43 South Dakota 84303 7105 8.43 17908 1177 6.57 95294.35
44 New Hampshire 125235 5914 4.72 26362 569 2.16 92104.13
45 North Dakota 113582 3849 3.39 25806 748 2.90 149045.62
46 West Virginia 188981 3442 1.82 57028 1120 1.96 105744.52
47 Maine 109550 3423 3.12 38579 613 1.59 81497.56
48 Wyoming 35327 1675 4.74 2721 596 21.90 61039.22
49 Vermont 70353 1251 1.78 17796 123 0.69 112747.18
50 Montana 102926 1249 1.21 41989 640 1.52 96302.51
51 Alaska 123753 1162 0.94 49316 499 1.01 169166.63
52 Hawaii 85058 1030 1.21 23584 294 1.25 60074.64

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 217121 5134 2.42 118558 54.60 89294 9250 224 2.48 4.26
Tamil Nadu 118594 3616 3.14 71116 59.97 45842 1636 65 4.14 1.38
Delhi 102831 2008 1.99 74217 72.17 25449 3165 50 1.61 3.08
Gujarat 37636 778 2.11 26744 71.06 8914 1978 17 0.87 5.26
Uttar Pradesh 29968 1332 4.65 19627 65.49 9514 827 18 2.22 2.76
Telangana 27612 1879 7.30 16287 58.99 11012 313 7 2.29 1.13
Karnataka 26815 1498 5.92 11100 41.39 15294 417 15 3.73 1.56
West Bengal 23837 850 3.70 15790 66.24 7243 804 25 3.21 3.37
Rajasthan 21404 716 3.46 16575 77.44 4357 472 11 2.39 2.21
Andhra Pradesh 21197 1178 5.88 9745 45.97 11200 252 13 5.44 1.19
Haryana 17999 495 2.83 13645 75.81 4075 279 3 1.09 1.55
Madhya Pradesh 15627 343 2.24 11768 75.31 3237 622 5 0.81 3.98
Assam 13337 1600 13.63 8330 62.46 4988 16 2 14.29 0.12
Bihar 12525 385 3.17 9338 74.55 3089 98 1 1.03 0.78
Odisha 10097 571 5.99 6703 66.39 3340 54 6 12.50 0.53
Jammu and Kashmir 8931 256 2.95 5399 60.45 3389 143 5 3.62 1.60
Punjab 6749 258 3.97 4554 67.48 2020 175 6 3.55 2.59
Kerala 5895 272 4.84 3452 58.56 2411 28 0 0.00 0.47
State Unassigned 5034 121 2.46 0 0.00 5034 0 0 NaN 0.00
Chhattisgarh 3415 110 3.33 2728 79.88 673 14 0 0.00 0.41
Uttarakhand 3230 69 2.18 2621 81.15 538 43 1 2.38 1.33
Jharkhand 3018 164 5.75 2104 69.72 892 22 2 10.00 0.73
Goa 1903 90 4.96 1156 60.75 739 8 1 14.29 0.42
Tripura 1716 136 8.61 1248 72.73 454 1 0 0.00 0.06
Manipur 1430 40 2.88 771 53.92 659 0 0 NaN 0.00
Himachal Pradesh 1083 6 0.56 777 71.75 283 10 0 0.00 0.92
Puducherry 1043 32 3.17 517 49.57 512 14 0 0.00 1.34
Ladakh 1041 36 3.58 860 82.61 180 1 0 0.00 0.10
Nagaland 644 19 3.04 303 47.05 341 0 0 NaN 0.00
Chandigarh 492 5 1.03 401 81.50 84 7 1 16.67 1.42
Dadra and Nagar Haveli and Daman and Diu 415 15 3.75 183 44.10 229 0 0 NaN 0.00
Arunachal Pradesh 276 7 2.60 105 38.04 169 2 1 100.00 0.72
Mizoram 198 1 0.51 139 70.20 59 0 0 NaN 0.00
Andaman and Nicobar Islands 147 6 4.26 74 50.34 73 0 0 NaN 0.00
Sikkim 127 2 1.60 80 62.99 34 0 0 NaN 0.00
Meghalaya 94 6 6.82 43 45.74 49 2 1 100.00 2.13
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1088960 94527 111 0.12 8.68 233 36 9492 16700 17.67
Piemonte 431761 31429 6 0.02 7.28 210 9 1208 4104 13.06
Emilia-Romagna 519586 28675 38 0.13 5.52 90 9 1064 4268 14.88
Veneto 1013235 19327 1 0.01 1.91 16 2 384 2024 10.47
Toscana 353862 10287 2 0.02 2.91 12 2 332 1114 10.83
Liguria 154636 10001 2 0.02 6.47 46 0 289 1558 15.58
Lazio 353276 8205 19 0.23 2.32 200 12 870 842 10.26
Marche 143299 6790 0 0.00 4.74 5 0 189 987 14.54
P.A. Trento 128029 4873 0 0.00 3.81 3 0 37 405 8.31
Campania 293368 4746 27 0.57 1.62 42 0 227 432 9.10
Puglia 188969 4536 0 0.00 2.40 18 0 93 545 12.01
Friuli Venezia Giulia 200651 3326 0 0.00 1.66 9 0 71 345 10.37
Abruzzo 110126 3309 0 0.00 3.00 30 0 156 464 14.02
Sicilia 222176 3095 1 0.03 1.39 14 2 139 282 9.11
P.A. Bolzano 87392 2647 0 0.00 3.03 3 0 83 292 11.03
Umbria 100395 1447 0 0.00 1.44 4 0 9 80 5.53
Sardegna 87798 1371 1 0.07 1.56 3 0 10 134 9.77
Valle d’Aosta 18807 1196 0 0.00 6.36 4 0 5 146 12.21
Calabria 99705 1183 0 0.00 1.19 4 0 26 97 8.20
Molise 23616 445 0 0.00 1.88 0 0 21 23 5.17
Basilicata 40807 404 0 0.00 0.99 0 0 4 27 6.68

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 55937 74 0.13 5577 3 0.05 9.97 6551.78 653.22 1 in 153
Ontario 37829 176 0.47 2743 0 0.00 7.25 2571.33 186.45 1 in 389
Alberta 8389 130 1.57 155 0 0.00 1.85 1900.91 35.12 1 in 526
British Columbia 2978 31 1.05 183 6 3.39 6.15 582.67 35.81 1 in 1716
Nova Scotia 1065 1 0.09 63 0 0.00 5.92 1089.56 64.45 1 in 918
Saskatchewan 805 9 1.13 14 0 0.00 1.74 681.24 11.85 1 in 1468
Manitoba 325 0 0.00 7 0 0.00 2.15 235.93 5.08 1 in 4239
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 165 0 0.00 2 0 0.00 1.21 211.54 2.56 1 in 4727
Prince Edward Island 32 0 0.00 0 0 NaN 0.00 202.33 0.00 1 in 4942
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1643 8 0.49
Hong Kong 1285 7 0.54
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 792 7 0.88
Shanghai 716 7 0.98
Jiangsu 654 0 0.00
Sichuan 596 3 0.50
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 321 3 0.93
Guangxi 254 2 0.79
Inner Mongolia 240 1 0.42
Tianjin 199 3 1.51
Shanxi 198 0 0.00
Yunnan 186 2 1.08
Hainan 171 6 3.51
Gansu 167 2 1.20
Liaoning 157 2 1.27
Jilin 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 8973.34 398.18 1 in 111
Brazil 7755.78 312.89 1 in 129
India 537.46 15.06 1 in 1861
Russia 4753.30 71.14 1 in 210
Peru 9502.74 334.85 1 in 105
Chile 16540.55 353.68 1 in 60
United Kingdom 4324.05 667.08 1 in 231
Mexico 2025.93 240.86 1 in 494
Spain 5396.25 608.40 1 in 185
Iran 2994.71 144.54 1 in 334
Italy 3998.33 576.54 1 in 250
Pakistan 1190.40 24.56 1 in 840
Saudi Arabia 6488.04 59.74 1 in 154
Turkey 2559.63 64.86 1 in 391
South Africa 3626.96 58.36 1 in 276
France 3069.07 446.68 1 in 326
Germany 2392.37 108.97 1 in 418
Bangladesh NA NA 1 in NA
Colombia 2392.75 87.73 1 in 418
Canada 2868.18 232.72 1 in 349

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 217216 23201 10.68
Los Angeles California 116570 3534 3.03
Cook Illinois 92781 4630 4.99
Maricopa Arizona 64915 881 1.36
Miami-Dade Florida 48992 1051 2.15
Nassau New York 42053 2187 5.20
Suffolk New York 41685 1984 4.76
Harris Texas 37776 401 1.06
Westchester New York 35084 1427 4.07
Dallas Texas 27054 401 1.48
Philadelphia Pennsylvania 26810 1619 6.04
Middlesex Massachusetts 24193 1882 7.78
Wayne Michigan 23259 2730 11.74
Broward Florida 21856 414 1.89
Riverside California 20555 486 2.36
Suffolk Massachusetts 20014 1008 5.04
Bergen New Jersey 19655 2006 10.21
Prince George’s Maryland 19040 690 3.62
Hudson New Jersey 18990 1456 7.67
Essex New Jersey 18895 2041 10.80
Clark Nevada 18818 439 2.33
Orange California 17882 366 2.05
Palm Beach Florida 17242 543 3.15
Passaic New Jersey 16963 1196 7.05
Middlesex New Jersey 16957 1333 7.86
Fairfield Connecticut 16823 1377 8.19
San Diego California 16726 387 2.31
Union New Jersey 16432 1328 8.08
Essex Massachusetts 16283 1122 6.89
San Bernardino California 15345 269 1.75
Montgomery Maryland 15163 753 4.97
Bexar Texas 15102 132 0.87
Tarrant Texas 14828 238 1.61
Hillsborough Florida 14677 158 1.08
Orange Florida 14407 61 0.42
Fairfax Virginia 14205 495 3.48
Rockland New York 13656 668 4.89
Providence Rhode Island 13144 0 0.00
Mecklenburg North Carolina 13111 155 1.18
Salt Lake Utah 12758 117 0.92
Worcester Massachusetts 12515 942 7.53
New Haven Connecticut 12462 1078 8.65
Hennepin Minnesota 12456 787 6.32
Milwaukee Wisconsin 12396 391 3.15
Oakland Michigan 12254 1091 8.90
Shelby Tennessee 11936 201 1.68
Hartford Connecticut 11794 1380 11.70
Marion Indiana 11682 684 5.86
Travis Texas 11679 137 1.17
Davidson Tennessee 11205 121 1.08
King Washington 11105 622 5.60
Orange New York 10781 484 4.49
District of Columbia District of Columbia 10515 561 5.34
Franklin Ohio 10410 429 4.12
Jefferson Louisiana 10097 487 4.82
Lake Illinois 10007 423 4.23
Pima Arizona 9873 282 2.86
Gwinnett Georgia 9787 174 1.78
Ocean New Jersey 9716 974 10.02
Duval Florida 9487 68 0.72
DuPage Illinois 9364 475 5.07
Monmouth New Jersey 9320 820 8.80
Norfolk Massachusetts 9284 940 10.12
Fulton Georgia 8883 316 3.56
Pinellas Florida 8759 199 2.27
Plymouth Massachusetts 8748 668 7.64
Montgomery Pennsylvania 8634 811 9.39
Puerto Rico 8585 155 1.81
Baltimore Maryland 8335 482 5.78
Bristol Massachusetts 8331 592 7.11
Orleans Louisiana 8143 534 6.56
Baltimore City Maryland 7960 349 4.38
Cuyahoga Ohio 7883 373 4.73
Kane Illinois 7877 275 3.49
Mercer New Jersey 7745 591 7.63
Lee Florida 7661 167 2.18
Yakima Washington 7634 165 2.16
Prince William Virginia 7582 147 1.94
Macomb Michigan 7580 919 12.12
Douglas Nebraska 7500 97 1.29
Erie New York 7500 639 8.52
Camden New Jersey 7496 525 7.00
El Paso Texas 7461 135 1.81
Yuma Arizona 7445 117 1.57
Denver Colorado 7392 381 5.15
Delaware Pennsylvania 7349 659 8.97
Imperial California 7190 117 1.63
DeKalb Georgia 7050 173 2.45
Will Illinois 6957 320 4.60
St. Louis Missouri 6931 584 8.43
Hampden Massachusetts 6883 670 9.73
Alameda California 6855 140 2.04
Morris New Jersey 6820 806 11.82
Polk Iowa 6638 179 2.70
Wake North Carolina 6231 49 0.79
Fresno California 6110 77 1.26
Out of GA Georgia 6049 49 0.81
Hamilton Ohio 6019 198 3.29
Greenville South Carolina 6019 87 1.45
Charleston South Carolina 5979 36 0.60

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc